Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review.
How this is built →
1Distinct papers
5Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5115020461
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Amar Jyoti Borah (openalex, provider refresh)
- Amar Jyoti Borah (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Human Ai Collab: 1 paper
- Org Design: 1 paper
- Productivity: 1 paper
Claim outcomes
- Organizational Efficiency: 1 paper
- Automation Exposure: 1 paper
- Decision Quality: 1 paper
- Developer Productivity: 1 paper
- Firm Productivity: 1 paper
- Output Quality: 1 paper
- Task Allocation: 1 paper
Papers in the OpenAlex view
Latest stored OpenAlex author observations only. Citation counts below are from the same provider and are not combined with other services.
Scroll the table horizontally to see every column.
| Paper | Author evidence | Date | Provider citations |
|---|---|---|---|
| Generative AI is boosting productivity in routine, information-heavy business decisions—especially among less-experienced workers—but can harm outcomes when applied outside its capability frontier, meaning firms need careful workflow redesign and governance.openalex | Amar Jyoti Borah provider id |
2026-08-12 | 0 |
Citation observation summary
OpenAlex supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 0 cumulative citations. This is a coverage summary, not an author score or h-index.